Huawei has reportedly started shipping its Ascend 910C accelerator—the company's domestic alternative to NVIDIA's H100 accelerator for AI training and inference. As the report from China South Morning Post notes, Huawei is shipping samples of its accelerator to large NVIDIA customers. This includes companies like Alibaba, Baidu, and Tencent, which have ordered massive amounts of NVIDIA accelerators. However, Huawei is on track to deliver 70,000 chips, potentially worth $2 billion. With NVIDIA working on a B20 accelerator SKU that complies with US government export regulations, the Huawei Ascend 910C accelerator could potentially outperform NVIDIA's B20 processor, per some analyst expectations.

If the Ascend 910C receives positive results from Chinese tech giants, it could be the start of Huawei's expansion into data center accelerators, once hindered by the company's ability to manufacture advanced chips. Now, with foundries like SMIC printing 7 nm designs and possibly 5 nm coming soon, Huawei will leverage this technology to satisfy the domestic demand for more AI processing power. Competing on a global scale, though, remains a challenge. Companies like NVIDIA, AMD, and Intel have access to advanced nodes, which gives their AI accelerators more efficiency and performance.

TrendForce's latest industry report on AI servers reveals that high demand for advanced AI servers from major CSPs and brand clients is expected to continue in 2024. Meanwhile, TSMC, SK hynix, Samsung, and Micron's gradual production expansion has significantly eased shortages in 2Q24. Consequently, the lead time for NVIDIA's flagship H100 solution has decreased from the previous 40-50 weeks to less than 16 weeks.

TrendForce estimates that AI server shipments in the second quarter will increase by nearly 20% QoQ, and has revised the annual shipment forecast up to 1.67 million units—marking a 41.5% YoY growth.

The US government is investigating the potential national security risks associated with China's involvement in the development of open-source RISC-V chip technology. According to a letter obtained by Reuters, the Department of Commerce has informed US lawmakers that it is actively reviewing the implications of China's work in this area. RISC-V, an open instruction set architecture (ISA) created in 2014 at the University of California, Berkeley, offers an alternative to proprietary and licensed ISAs like those developed by Arm. This open-source ISA can be utilized in a wide range of applications, from AI chips and general-purpose CPUs to high-performance computing applications. Major Chinese tech giants, including Alibaba and Huawei, have already embraced RISC-V, positioning it as a new battleground in the ongoing technological rivalry between the United States and China over cutting-edge semiconductor capabilities.

In November, a group of 18 US lawmakers from both chambers of Congress urged the Biden administration to outline its strategy for preventing China from gaining a dominant position in RISC-V technology, expressing concerns about the potential impact on US national and economic security. While acknowledging the need to address potential risks, the Commerce Department noted in its letter that it must proceed cautiously to avoid unintentionally harming American companies actively participating in international RISC-V development groups. Previous attempts to restrict the transfer of 5G technology to China have created obstacles for US firms involved in global standards bodies where China is also a participant, potentially jeopardizing American leadership in the field. As the review process continues, the Commerce Department faces the delicate task of balancing national security interests with the need to maintain the competitiveness of US companies in the rapidly evolving landscape of open-source chip technologies.

Chinese e-commerce and cloud giant Alibaba announced its plans to launch a server-grade RISC-V processor later this year, and it showcased a RISC-V-powered laptop running an open-source operating system. The announcements were made by Alibaba's research division, the Damo Academy, at the recent Xuantie RISC-V Ecological Conference in Shenzhen. The upcoming server-class processor called the Xuantie C930, is expected to be launched by the end of 2024. While specific details about the chip have not been disclosed, it is anticipated to cater to AI and server workloads. This development is part of Alibaba's ongoing efforts to expand its RISC-V portfolio and reduce reliance on foreign chip technologies amidst US export restrictions. To complement the C930, Alibaba is also preparing a Xuantie 907 matrix processing unit for AI, which could be an IP block inside an SoC like the C930 or an SoC of its own.

In addition to the C930, Alibaba showcased the RuyiBOOK, a laptop powered by the company's existing T-Head C910 processor. The C910, previously designed for edge servers, AI, and telecommunications applications, has been adapted for use in laptops. Strangely, the RuyiBOOK laptop runs on the openEuler operating system, an open-source version of Huawei's EulerOS, which is based on Red Hat Linux. The laptop also features Alibaba's collaboration suite, Ding Talk, and the open-source office software Libre Office, demonstrating its potential to cater to the needs of Chinese knowledge workers and consumers without relying on foreign software. Zhang Jianfeng, president of the Damo Academy, emphasized the increasing demand for new computing power and the potential for RISC-V to enter a period of "application explosion." Alibaba plans to continue investing in RISC-V research and development and fostering collaboration within the industry to promote innovation and growth in the RISC-V ecosystem, lessening reliance on US-sourced technology.

According to the latest report from Bloomberg, AMD has hit a roadblock in offering its top-of-the-line AI accelerator in the Chinese market. The newest AI chip is called Instinct MI309, a lower-performance Instinct MI300 variant tailored to meet the latest US export rules for selling advanced chips to China-based entities. However, the Instinct MI309 still appears too powerful to gain unconditional approval from the US Department of Commerce, leaving AMD in need of an export license. Originally, the US Department of Commerce made a rule: Total Processing Performance (TPP) score should not exceed 4800, effectively capping AI performance at 600 FP8 TFLOPS. This rule ensures that processors with slightly lower performance may still be sold to Chinese customers, provided their performance density (PD) is sufficiently low.

However, AMD's latest creation, Instinct MI309, is everything but slow. Based on the powerful Instinct MI300, AMD has not managed to bring it down to acceptable levels to acquire a US export license from the Department of Commerce. It is still unknown which Chinese customer was trying to acquire AMD's Instinct MI309; however, it could be one of the Chinese AI labs trying to get ahold of more training hardware for their domestic models. NVIDIA has employed a similar tactic, selling A800 and H800 chips to China, until the US also ended the export of these chips to China. AI labs located in China can only use domestic hardware, including accelerators from Alibaba, Huawei, and Baidu. Cloud services hosting GPUs in US can still be accessed by Chinese companies, but that is currently under US regulators watchlist.

Huawei's Ascend 910B AI GPU is reportedly in high demand in China—we last learned that NVIDIA's latest US sanction-busting H20 "Hopper" model is lined up as a main competitor, allegedly in terms of both pricing and performance. A recent Reuters report proposes that Huawei is reacting to native enterprise market trends by shifting its production priorities—in favor of Ascend product ranges, while demoting their Kirin smartphone chipset family. Generative AI industry experts believe that the likes of Alibaba and Tencent have rejected Team Green's latest batch of re-jigged AI chips (H20, L20 and L2)—tastes have gradually shifted to locally developed alternatives.

Huawei leadership is seemingly keen to seize these growth opportunities—their Ascend 910B is supposedly ideal for workloads "that require low-to-mind inferencing power." Reuters has spoken to three anonymous sources—all with insider knowledge of goings-on at a single facility that manufacturers Ascend AI chips and the Kirin smartphone SoCs. Two of the leakers claim that this unnamed fabrication location is facing many "production quality" challenges, namely output being "hamstrung by a low yield rate." The report claims that Huawei has pivoted by deprioritizing Kirin 9000S (7 nm) production, thus creating a knock-on effect for its premium Mate 60 smartphone range.

This week in its earnings call, Samsung announced that its foundry business has received a significant order for a two nanometer AI chips, marking a major win for its advanced fabrication technology. The unnamed customer has contracted Samsung to produce AI accelerators using its upcoming 2 nm process node, which promises significant gains in performance and efficiency over today's leading-edge chips. Along with the AI chips, the deal includes supporting HBM and advanced packaging - indicating a large-scale and complex project. Industry sources speculate the order may be from a major hyperscaler like Google, Microsoft, or Alibaba, who are aggressively expanding their AI capabilities. Competition for AI chip contracts has heated up as the field becomes crucial for data centers, autonomous vehicles, and other emerging applications. Samsung said demand recovery in 2023 across smartphones, PCs and enterprise hardware will fuel growth for its broader foundry business. It's forging ahead with 3 nm production while eyeing 2 nm for launch around 2025.

Compared to its 3 nm process, 2 nm aims to increase power efficiency by 25% and boost performance by 12% while reducing chip area by 5%. The new order provides validation for Samsung's billion-dollar investments in next-generation manufacturing. It also bolsters Samsung's position against Taiwan-based TSMC, which holds a large portion of the foundry market share. TSMC landed Apple as its first 2 nm customer, while Intel announced 5G infrastructure chip orders from Ericsson and Faraday Technology using its "Intel 18A" node. With rivals securing major customers, Samsung is aggressively pricing 2 nm to attract clients. Reports indicate Qualcomm may shift some flagship mobile chips to Samsung's foundry at the 2 nm node, so if the yields are good, the node has a great potential to attract customers.

Chinese company Sipeed has introduced the Lichee Pocket 4A, one of the first handheld gaming devices based on the RISC-V open-source instruction set architecture (ISA). Sipeed positions the device as a retro gaming platform capable of running simple titles via software rendering or GPU acceleration. At its core is Alibaba's T-Head TH1520 processor featuring four 2.50 GHz Xuantie C910 RISC-V general-purpose CPU cores and an unnamed Imagination GPU. The chip was originally aimed at laptop designs. Memory options include 8 GB or 16 GB LPDDR4X RAM and 32 GB or 128 GB of storage. The Lichee Pocket 4A has a 7-inch 1280x800 LCD touchscreen, Wi-Fi/Bluetooth connectivity, and an array of wired ports like USB and Ethernet. It weighs under 500 grams. The device can run Android or Linux distributions like Debian, Ubuntu, and others.

As an early RISC-V gaming entrant, performance expectations should be modest—the focus is retro gaming and small indie titles, not modern AAA games. Specific gaming capabilities remain to be fully tested. However, the release helps showcase RISC-V's potential for consumer electronics and competitive positioning against proprietary ISAs like ARM. Pricing is still undefined, but another Sipeed handheld console retails for around $250 currently. Reception from enthusiasts and developers will demonstrate whether there's a viable market for RISC-V gaming devices. Success could encourage additional hardware experimentation efforts across emerging open architectures. With a 6000 mAh battery, battery life should be decent. Other specifications can be seen in the table below, and the pre-order link is here.

Huawei's subsidiary HiSilicon has made significant strides in the independent R&D of AI chips, launching the next-gen Ascend 910B. These chips are utilized not only in Huawei's public cloud infrastructure but also sold to other Chinese companies. This year, Baidu ordered over a thousand Ascend 910B chips from Huawei to build approximately 200 AI servers. Additionally, in August, Chinese company iFlytek, in partnership with Huawei, released the "Gemini Star Program," a hardware and software integrated device for exclusive enterprise LLMs, equipped with the Ascend 910B AI acceleration chip, according to TrendForce's research.

TrendForce conjectures that the next-generation Ascend 910B chip is likely manufactured using SMIC's N+2 process. However, the production faces two potential risks. Firstly, as Huawei recently focused on expanding its smartphone business, the N+2 process capacity at SMIC is almost entirely allocated to Huawei's smartphone products, potentially limiting future capacity for AI chips. Secondly, SMIC remains on the Entity List, possibly restricting access to advanced process equipment.

NVIDIA's most recent FY3Q24 financial reports reveal record-high revenue coming from its data center segment, driven by escalating demand for AI servers from major North American CSPs. However, TrendForce points out that recent US government sanctions targeting China have impacted NVIDIA's business in the region. Despite strong shipments of NVIDIA's high-end GPUs—and the rapid introduction of compliant products such as the H20, L20, and L2—Chinese cloud operators are still in the testing phase, making substantial revenue contributions to NVIDIA unlikely in Q4. Gradual shipments increases are expected from the first quarter of 2024.

The US ban continues to influence China's foundry market as Chinese CSPs' high-end AI server shipments potentially drop below 4% next year
TrendForce reports that North American CSPs like Microsoft, Google, and AWS will remain key drivers of high-end AI servers (including those with NVIDIA, AMD, or other high-end ASIC chips) from 2023 to 2024. Their estimated shipments are expected to be 24%, 18.6%, and 16.3%, respectively, for 2024. Chinese CSPs such as ByteDance, Baidu, Alibaba, and Tencent (BBAT) are projected to have a combined shipment share of approximately 6.3% in 2023. However, this could decrease to less than 4% in 2024, considering the current and potential future impacts of the ban.

Alibaba's T-Head unit, responsible for the design and development of in-house IC design, has announced the first domestic SSD controller based on the PCIe 5.0 specification standard. Called the Zhenyue 510, the SSD controller is aimed at enterprise SSD offerings. Interestingly, the Zhenyue 510 is powered by T-Head's custom Xuantie C910 cores based on RISC-V instruction set architecture (ISA). Supporting the PCIe 5.0 standard for interfacing, the SSD controller uses DDR5 memory as a cache buffer. Regarding the performance, there are no official figures yet, but the company claims to have 30% lower input/output latencies compared to competing offerings. T-Head claims the SSD has an IO processing capability of "3400 Kilo IOs per second, a data bandwidth of 14 Gbytes/s, and an extremely high energy efficiency of 420 Kilo IO per second for every Watt".

This is an essential step towards Chinese self-sufficiency as T-Head has designed various ICs for processing different tasks. Still, now Alibaba's chip design unit has a domestic design for storage as well. Claiming low latency figures, the Zhenyue 510 is suitable for enterprise workloads like big data analysis, as well as AI inference/training systems workloads. The development of Zhenyue 510 started in 1H 2021, and it took the company more than two years to complete the design and validation of the chip to prepare it for deployment. This is the second Chinese-made SSD controller after Yingren Technology (InnoGrit) announced their chip in September.

The U.S. Commerce Department seems to have thrown a big spanner into the NVIDIA machinery, by informing the company that some US$5 billion worth of AI chip orders for China falls under the latest US export restrictions. The orders are said to have been heading for Alibaba, ByteDance and Baidu, as well as possibly other major tech companies in China. This made NVIDIA's shares drop sharply when the market opened in the US earlier today, by close to five percent, dropping NVIDIA's market cap below the US$1 Trillion mark. The share price recovered somewhat in the afternoon, putting NVIDIA back in the trillion dollar club.

Based on a statement to Reuters, NVIDIA doesn't seem overly concerned, despite what appears to be huge loss in sales, with a company spokesperson issuing the following statement "These new export controls will not have a meaningful impact in the near term". The US government will implement these new export restrictions from November, which obviously didn't give NVIDIA much of a chance to avoid them and it looks as if the company is going to have to find new customers for the AI chips. Considering the current demand for NVIDIA's chips, this might not be too much of a challenge for the company though.

The escalating challenges in acquiring high-performance x86 servers have prompted Chinese data center companies to accelerate the shift to Arm-based system-on-chips (SoCs). Investment banking firm Bernstein reports that approximately 40% of all Arm-powered servers globally are currently being used in China. While most servers operate on x86 processors from AMD and Intel, there's a growing preference for Arm-based SoCs, especially in the Chinese market. Several global tech giants, including AWS, Ampere, Google, Fujitsu, Microsoft, and Nvidia, have already adopted or developed Arm-powered SoCs. However, Arm-based SoCs are increasingly favorable for Chinese firms, given the difficulty in consistently sourcing Intel's Xeon or AMD's EPYC. Chinese companies like Alibaba, Huawei, and Phytium are pioneering the development of these Arm-based SoCs for client and data center processors.

However, the US government's restrictions present some challenges. Both Huawei and Phytium, blacklisted by the US, cannot access TSMC's cutting-edge process technologies, limiting their ability to produce competitive processors. Although Alibaba's T-Head can leverage TSMC's latest innovations, it can't license Arm's high-performance computing Neoverse V-series CPU cores due to various export control rules. Despite these challenges, many chip designers are considering alternatives such as RISC-V, an unrestricted, rapidly evolving open-source instruction set architecture (ISA) suitable for designing highly customized general-purpose cores for specific workloads. Still, with the backing of influential firms like AWS, Google, Nvidia, Microsoft, Qualcomm, and Samsung, the Armv8 and Armv9 instruction set architectures continue to hold an edge over RISC-V. These companies' support ensures that the software ecosystem remains compatible with their CPUs, which will likely continue to drive the adoption of Arm in the data center space.

NVIDIA could be adjusting its enterprise-grade GPU production strategies for the Chinese market, according to an article published by MyDriver—despite major sanctions placed on semiconductor imports, Team Green is doing plenty of business with tech firms operating in the region thanks to an uptick in AI-related activities. NVIDIA offers two market specific accelerator models that have been cut down to conform to rules and regulations—the more powerful and expensive (250K RMB/~$35K) H800 is an adaptation of the western H100 GPU, while the A800 is a legal market alternative to the older A100.

The report proposes that NVIDIA is considering plans to reduce factory output of the A800 (sold for 100K RMB/~$14K per unit), so clients will be semi-forced into purchasing the higher-end H800 model instead (if they require a significant number of GPUs). The A800 seems to be the more popular choice for the majority of companies at the moment, with the heavy hitters—Alibaba, Baidu, Tencent, Jitwei and ByteDance—flexing their spending muscles and splurging on mixed shipments of the two accelerators. By limiting supplies of the lesser A800, Team Green could be generating more profit by prioritizing the more expensive (and readily available) model.

BeagleBoard.org, a leading developer of open-source hardware platforms, is thrilled to announce the highly anticipated launch of BeagleV-Ahead, an innovative single board computer (SBC) based on TH1520, a quad core 64-bit RISC-V SoC from T-Head. This groundbreaking open-source SBC brings a new level of accessibility, performance, and flexibility to the rapidly growing RISC-V ecosystem.

BeagleV-Ahead is set to revolutionize the world of embedded systems and empower developers and enthusiasts worldwide. It represents a significant milestone in the democratization of computer architecture and open-source hardware development. Built around the powerful and energy-efficient RISC-V instruction set architecture (ISA), the BeagleV-Ahead SBC offers unparalleled opportunities for developers, hobbyists, and researchers to explore and experiment with RISC-V technology.

TikTok developer ByteDance, and other major Chinese tech firms including Tencent, Alibaba and Baidu are reported (by local media) to be snapping up lots of NVIDIA HPC GPUs, with even more orders placed this year. ByteDance is alleged to have spent enough on new products in 2023 to match the expenditure of the entire Chinese tech market on similar NVIDIA purchases for FY2022. According to news publication Jitwei, ByteDance has placed orders totaling $1 billion so far this year with Team Green—the report suggests that a mix of A100 and H800 GPU shipments have been sent to the company's mainland data centers.

The older Ampere-based A100 units were likely ordered prior to trade sanctions enforced on China post-August 2022, with further wiggle room allowed—meaning that shipments continued until September. The H800 GPU is a cut-down variant of 2022's flagship "Hopper" H100 model, designed specifically for the Chinese enterprise market—with reduced performance in order to meet export restriction standards. The H800 costs around $10,000 (average sale price per accelerator) according to Tom's Hardware, so it must offer some level of potency at that price. ByteDance has ordered roughly 100,000 units—with an unspecified split between H800 and A100 stock. Despite the development of competing HPC products within China, it seems that the nation's top-flight technology companies are heading directly to NVIDIA to acquire the best-of-the-best and highly mature AI processing hardware.

Ampere Computing today announced a new AmpereOne Family of processors with up to 192 single threaded Ampere cores - the highest core count in the industry. This is the first product from Ampere based on the company's new custom core, built from the ground up and leveraging the company's internal IP. CEO Renée James, who founded Ampere Computing to offer a modern alternative to the industry with processors designed specifically for both efficiency and performance in the Cloud, said there was a fundamental shift happening that required a new approach.

"Every few decades of compute there has emerged a driving application or use of performance that sets a new bar of what is required of performance," James said. "The current driving uses are AI and connected everything combined with our continued use and desire for streaming media. We cannot continue to use power as a proxy for performance in the data center. At Ampere, we design our products to maximize performance at a sustainable power, so we can continue to drive the future of the industry."

Last Tuesday, Alibaba announced its intentions to put out its own artificial intelligence (AI) chatbot product called Tongyi Qianwen - another rival to take on OpenAI's pioneering ChatGPT natural language processing tool. The Chinese technology giant is hoping to retrofit the new chatbot system into several arms of its business operations. Alibaba had revealed initial plans for chatbot integration earlier this year, and mentioned that it was providing an alternative to the already well established ChatGPT tool. Alibaba's workplace messaging application - DingTalk - is slated to receive the first AI-powered update in the near future, although the company did not provide a firm timeline for Tongyi Qianwen's release window.

The product name "Tongyi Qianwen" loosely translates to "seeking an answer by asking a thousand questions" - Alibaba did not provide an official English language translation at last week's press conference. Their chatbot is reported to function in both Mandarin and English language modes. Advanced AI voice recognition is set for usage in the Tmall Genie range of smart speakers (similar in function to the Amazon Echo). Alibaba expects to expand Tongyi Qianwen's reach into applications relating to e-commerce and mapping services.

According to TrendForce's latest survey of the server market, many cloud service providers (CSPs) have begun large-scale investments in the kinds of equipment that support artificial intelligence (AI) technologies. This development is in response to the emergence of new applications such as self-driving cars, artificial intelligence of things (AIoT), and edge computing since 2018. TrendForce estimates that in 2022, AI servers that are equipped with general-purpose GPUs (GPGPUs) accounted for almost 1% of annual global server shipments. Moving into 2023, shipments of AI servers are projected to grow by 8% YoY thanks to ChatBot and similar applications generating demand across AI-related fields. Furthermore, shipments of AI servers are forecasted to increase at a CAGR of 10.8% from 2022 to 2026.

The four major North American cloud service providers (CSPs) have made cuts to their server procurement quantities for this year because of economic headwinds and high inflation. Turning to server OEMs such as Dell and HPE, they are observed to have scaled back the production of server motherboards at their ODM partners. Given these developments, TrendForce now projects that global server shipments will grow by just 1.31% YoY to 14.43 million units for 2023. This latest figure is a downward correction from the earlier estimation. The revisions that server OEMs have made to their outlooks on shipments shows that the demand for end products has become much weaker than expected. They also highlight factors such as buyers of enterprise servers imposing a stricter control of their budgets and server OEMs' inventory corrections.

AMD and Arm have been gaining up on Intel in the server CPU market in the past few years, and the margins of the share that AMD had won over were especially large in 2022 as datacenter operators and server brands began finding that solutions from the number-2 maker growing superior to those of the long-time leader, according to Frank Kung, DIGITIMES Research analyst focusing primarily on the server industry, who anticipates that AMD's share will well stand above 20% in 2023, while Arm will get 8%.

Prices are one of the three major drivers that resulted in datacenter operators and server brands switching to AMD. Comparing server CPUs from AMD and Intel with similar numbers of cores, clockspeed, and hardware specifications, the price tags of most of the former's products are at least 30% cheaper than the latter's, and the differences could go as high as over 40%, Kung said.

The United States has recently imposed several sanctions on technology exports to China. These sanctions are designed to restrict the transfer of specific technologies and sensitive information to Chinese entities, particularly those with ties to the Chinese military or government. The primary motivation behind these sanctions is to protect American national security interests, as well as to protect American companies from unfair competition. According to Financial Times, we have information that Chinese tech Giant, Alibaba, can not access Arm licenses for Neoverse V1 technology. Generally, the technology group where Neoverse V-series falls in is called Wassenaar -- multilateral export control regime (MECR) with 42 participating states. This agreement prohibits the sale of technology that could be used for military purposes.

The US argues that Arm's Neoverse V1 IP is not only a product from UK's Arm but a design made in the US as well, meaning that it is a US technology. Since Alibaba's T-Head group responsible for designing processors that go into Alibaba's cloud services can not use Neoverse V1, it has to look for alternative solutions. The Neoverse V1 and V2 can not be sold in China, while Neoverse N1 and N2 can. Alibaba's T-Head engineer argued, "We feel that the western world sees us as second-class people. They won't sell good products to us even if we have money."

In what can only be called an unusual move, several Chinese fabless chip makers—such as Alibaba and Biren Technology—who manufacturers at TSMC, are looking at running their chips slower. The reason for this is that they're trying to circumvent the US sanctions against Chinese chip makers. It should be noted that these are chips that have already taped out and gone into sample production, such as Biren's BR100 GPU.As reported earlier today, Alibaba even had one of its chips delisted from the official SPEC ranking, due to being unavailable and it's possible that it's one of the chips that's affected by the US sanctions.

Considering that the Chinese chip makers are dependent on the same cutting edge nodes at TSMC as the likes of Nvidia, AMD, Qualcomm etc. it would potentially lead to more capacity for these companies at TSMC. According to the report by the Financial Times, Biren has had to stop shipments of its GPUs, as the company is going to have to prove that its chips don't violate the US export control restrictions. Apparently the rules to work out if a chip falls under the US sanctions or not are anything but clear. One metric is apparently based on the bidirectional transfer rate, which is capped at below 600 GB/s between chips, but the tricky part is that this metric can be calculated in several different ways. As such, Biren has dropped the transfer rate from 640 to 576 GB/s according to the Financial Times. The sanctions are likely to cause longer term concerns for TSMC as well, as the company is likely to lose several big customers for its cutting edge nodes, at least for the time being.

When Alibaba announced the development of an Armv9-based processor, it claimed to be some of the most performant designs that the company has laid its hand on, claiming to win the SPEC 2017 CPU benchmark and place itself in the top spot for the world record. Reportedly, the Yitian 710 CPU was able to score an integer score of 440 points in SPECint2017, which is comparable to a dual-socket Xeon Platinum 8362 system. The SPEC 2017 benchmark represents an industry-standard suite of tests that have a combination of 43 different test scenarios that measure the performance of a specific processor. Alibaba's Yitian 710 was claiming to possess the performance target where it is the fastest CPU on the leaderboard, with one major flaw. The Chinese company hasn't mentioned this processor's lack of general availability, making its scoreboard efforts invalid.

As Alibaba plans to use its design almost exclusively in-house and maybe offer it to a few partners, the processor is not sold commercially. This is apparently a requirement for the SPEC CPU 2017 benchmark to be completed, so the SPEC committee has overruled the result to make it invalid, stating the following:

SPEC CommitteeSPEC has determined that this result does not comply with the SPEC OSG Guidelines for General Availability and the SPEC CPU 2017 run and reporting rules. Specifically, the submitter has notified SPEC that General Availability requirements were not met.

TikTok's parent company ByteDance has recently begun hiring chip designers to help develop specialized processors for fields where they haven't been able to find existing suppliers. The company is looking to design chips that are optimized for hosting their video, information, and entertainment apps without any plans to sell these processors to other companies. This latest announcement follows various other Chinese companies such as Alibaba and Baidu in developing custom processors to decrease their reliance on foreign companies and improve performance in specific tasks. The initial job listings only include 31 openings for positions such as experts, specialists, and interns with more staff likely required in the future.